Automatic motion control of powered wheel chair by the movements of eye blink

Independent mobility (freedom to explore the environment without any accompaniment) reduces the dependence on caregivers. Disable people always find themselves challenging to go out independently because of their physical deficiency or inability to move in a normal fashion. A wheelchair is a mechanical device which improves the lifestyle and increase the mobility of disable people, allowing them to explore their surroundings. In this paper, we propose a new technique to control the powered/motorized wheelchair using Infrared Radiation (IR). An attempt has been provided to transmit low intensity infrared rays on eyes. The analog voltage level varies in infrared receiver based on eye lid movement. These techniques grant the user to navigate automatically to desired goal point with the possibility of avoiding collisions and holes in all directions, so that the user can robustly interact with the wheelchair. Main aim of this project is to reduce the human efforts in driving a wheelchair. The user with any extent of disability can operate the wheelchair to attain self-independence at least in daily life activities. The objective of this paper is to provide our services to the disable society by increasing their range of mobility.

[1]  Holly A. Yanco,et al.  Wheelesley: A Robotic Wheelchair System: Indoor Navigation and User Interface , 1998, Assistive Technology and Artificial Intelligence.

[2]  S P Levine,et al.  The NavChair Assistive Wheelchair Navigation System. , 1999, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[3]  Yoshiaki Shirai,et al.  Robotic wheelchair based on observations of both user and environment , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[4]  José Luis Lázaro,et al.  Integral system for assisted mobility , 2000, Inf. Sci..

[5]  Yoshinori Kuno,et al.  User and social interfaces by observing human faces for intelligent wheelchairs , 2001, PUI '01.

[6]  Y. Matsumotot,et al.  Development of intelligent wheelchair system with face and gaze based interface , 2001, Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No.01TH8591).

[7]  Manuel Mazo,et al.  An integral system for assisted mobility [automated wheelchair] , 2001, IEEE Robotics Autom. Mag..

[8]  A. Bradshaw,et al.  A New Conceptual Approach to the Design of Hybrid Control Architecture for Autonomous Mobile Robots , 2002, J. Intell. Robotic Syst..

[9]  Bernd Freisleben,et al.  HaWCoS: the "hands-free" wheelchair control system , 2002, ASSETS.

[10]  Manuel Mazo,et al.  Wheelchair Guidance Strategies Using EOG , 2002, J. Intell. Robotic Syst..

[11]  DANIEL CAGIGAS,et al.  Hierarchical Path Search with Partial Materialization of Costs for a Smart Wheelchair , 2004, J. Intell. Robotic Syst..

[12]  Junuk Chu,et al.  Wearable EMG-based HCI for Electric-Powered Wheelchair Users with Motor Disabilities , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[13]  Huosheng Hu,et al.  EMG-based hands-free wheelchair control with EOG attention shift detection , 2007, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[14]  Huosheng Hu,et al.  Head gesture recognition for hands-free control of an intelligent wheelchair , 2007, Ind. Robot.

[15]  S.R. Munasinghe,et al.  Controlling a Wheelchair by Use of EOG Signal , 2008, 2008 4th International Conference on Information and Automation for Sustainability.

[16]  Kazuhiko Takahashi,et al.  Wheelchair control using an EOG- and EMG-based gesture interface , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[17]  Chun-Liang Hsu,et al.  EOG-based Human-Computer Interface system development , 2010, Expert Syst. Appl..